UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRE006038


Registration ID:
187662

Page Number

226-230

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Title

Energy-efficient Query Processing in Web Search Engines

Authors

Abstract

Web search engines are composed by thousands of query processing nodes, i.e., servers dedicated to process user queries.Such many servers consume a significant amount of energy, mostly accountable to their CPUs, but they are necessary to ensure lowlatencies, since users expect sub-second response times (e.g., 500 ms). However, users can hardly notice response times that are fasterthan their expectations. Hence, this is proposed the Predictive Energy Saving Online Scheduling Algorithm (PESOS) to select the mostappropriate CPU frequency to process a query on a per-core basis. PESOS aims at process queries by their deadlines, and leveragehigh-level scheduling information to reduce the CPU energy consumption of a query processing node. PESOSbases its decision onquery efficiency predictors, estimating the processing volume and processing time of a query. We experimentally evaluate PESOS uponthe TREC ClueWeb09B collection and the MSN2006 query log results show that PESOS can reduce the CPU energy consumptionof a query processing node up to 48% compared to a system running at maximum CPU core frequency. PESOS outperforms alsothe best state-of-the-art competitor with a 20% energy saving, while the competitor requires a fine parameter tuning and it mayincurs in uncontrollable latency violations.

Key Words

PESOS,Search engine,Query processing

Cite This Article

"Energy-efficient Query Processing in Web Search Engines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.226-230, September-2018, Available :http://www.jetir.org/papers/JETIRE006038.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Energy-efficient Query Processing in Web Search Engines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp226-230, September-2018, Available at : http://www.jetir.org/papers/JETIRE006038.pdf

Publication Details

Published Paper ID: JETIRE006038
Registration ID: 187662
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 226-230
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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